When Google, Microsoft, and Amazon, in the span of one week, pledge nearly $52 billion to India, one has to wonder, “what’s going on here?”
AI Infrastructure Newsletter
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Right now, in orbit, the Starcloud-1 satellite is running and querying responses from Google LLM Gemma. Equipped with a Nvidia H100 GPU, the satellite is getting us one step closer …
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There was a compelling post by Guy Massey, director of global service delivery for CommScope, which included a “cooling roadmap” and accompanying analysis that garnered hundreds of comments from experts …
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A coalition of 200 environmental groups yesterday signed a public letter to Congress asking for a moratorium on new data centers in the U.S.
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In one of IBM’s largest acquisitions since its $34 billion purchase of Red Hat in 2019, IBM this morning boosted its cloud computing strategy with an $11 billion acquisition of …
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With the only U.S.-based memory supplier, Micron, going all-in on the lucrative AI HBM race, what impact will it have on consumer-facing products like smartphones and PCs? It’s the latest …
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Now that we’ve wrapped up the RCRTech AI Infrastructure Forum, it is time to summarize some of the compelling conversations and panel discussions we had with the industry’s leading companies …
- AI Infrastructure Newsletter
New report examines ‘Wild West’ environment of edge computing and 5-Pillar infrastructure to mitigate the challenges
“Building an AI-ready infrastructure from the data center to the edge,” is a new RCRTech editorial report that details a five-pillar framework for supporting the unique requirements of AI, from …
- AI Infrastructure Newsletter
Best Thanksgiving ever for Google? Praise for Gemini 3, commercialization of Ironwood, and possible deal with Meta
Salesforce CEO Marc Benioff was very clear in his opinion about Gemini 3 in a recent X post: “Holy [sic]…I’ve used ChatGPT every day for 3 years. Just spent 2 …
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The AI-RAN Frenzy in the global telecom infrastructure market is going to push revenues to $6.18 billion by 2032, but can AI-RAN deliver technical and financial outcomes, at scale?